class_docstr: Class for Grassmann manifolds :math:`Gr(n, p)`.
  
  Parameters
  ----------
  n : int
      Dimension of the Euclidean space.
  p : int
      Dimension of the subspaces.
docstr: Metric to equip the space with if equip is True.
docstr_tok: ["Metric","to","equip","the","space","with","if","equip","is","True","."]
code: def default_metric():
      """Metric to equip the space with if equip is True."""
      return GrassmannianCanonicalMetric
  
imports: import geomstats.backend
  import geomstats.errors
  from geomstats.geometry.base import LevelSet
  from geomstats.geometry.general_linear import GeneralLinear
  from geomstats.geometry.matrices import Matrices, MatricesMetric
  from geomstats.geometry.symmetric_matrices import SymmetricMatrices
  from geomstats.vectorization import repeat_out
label_desc: Use image node_id 3 for calling the Grassmannian obj's underlying member method code with example usage: obj.default_metric() and returns: GrassmannianCanonicalMetric